Dong Chen
Schmidt AI in Science Postdoctoral Fellow at Cornell University
• Contact: dc2339@cornell.edu
• Office: Olin Hall, Room 318, 113 Ho Plaza, Ithaca, NY 14853
• I am on the job market this cycle and would be grateful for any opportunities to connect.
Bios
Starting in 2026, I will join Cornell University as a Schmidt AI in Science Postdoctoral fellow in the R.F. Smith School of Chemical and Biomolecular Engineering, working with Prof. Fengqi You and continuing my research in AI for Science. Before joining Cornell, I was a Visiting Assistant Professor in the Department of Mathematics at Michigan State University, working with Prof. Guo-Wei Wei in East Lansing, Michigan. I earned my Ph.D. in Materials Physics and Chemistry from Peking University in 2022 under the supervision of Prof. Feng Pan.
Research Interests: My research centers on AI for Science, combining mathematical modeling and machine learning (ML) to advance discovery in chemistry, materials, and biology. I develop methods in topological data analysis (TDA), representation learning, and foundation models, with applications to drug discovery, drug resistance, addiction research, and the discovery of energy storage, and porous materials.
Awards & Grants
| U.S. Department of Energy, Microelectronics science research center projects for energy efficiency and extreme environments, $480,000 (Co-PI). | |
| American Mathematical Society, AMS Simons Travel Grant, $5,000 (Recipient). | |
| Bristol Myers Squibb, Virtual patient simulation and analysis for BMS' heart failure model and myosin, $371,000 (Co-PI). |
News
| Aug 25, 2026 | I accepted an Associate Editor appointment for the In silico Methods and Artificial Intelligence for Drug Discovery section of Frontiers in Drug Discovery. |
|---|---|
| Aug 21, 2026 | Publication of "Interaction topology theory deciphers multiscale codes of MOF-like materials" in Science Advances. |
| Aug 20, 2026 | Starting in 2026, I will join Cornell University as a Postdoctoral Associate in the R.F. Smith School of Chemical and Biomolecular Engineering, working with Prof. Fengqi You on AI for Science. |
| Aug 17, 2025 | Presentation at the COMP: Division of Computers in Chemistry - SESSION: Machine Learning in Chemistry, ACS Fall 2025 |